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Comparative Analysis of Deep Learning and Decision Tree Approaches for Predicting Aircraft Engine Remaining Useful Life

Hassina Madjour

Hassina Madjour

Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
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Madjour, Hassina
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Hanane Zermane

Hanane Zermane

Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
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Zermane, Hanane
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Djemaa Rahmouni

Djemaa Rahmouni

Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
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Rahmouni, Djemaa
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Mohammed Djamel Mouss

Mohammed Djamel Mouss

Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
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Mouss, Mohammed Djamel
  
19. Nov. 2024
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Artikel-Kategorie: Research Article
Online veröffentlicht: 19. Nov. 2024
Seitenbereich: 183 - 200
DOI: https://doi.org/10.2478/fas-2023-0012
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© 2023 Hassina Madjour et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Madjour, Hassina ORCID Icon
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Zermane, Hanane ORCID Icon
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Rahmouni, Djemaa ORCID Icon
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Mouss, Mohammed Djamel ORCID Icon
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
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